A Machine Learning Accelerator In-Memory for Energy Harvesting

29 Aug 2019 Resch Salonik Khatamifard S. Karen Chowdhury Zamshed Iqbal Zabihi Masoud Zhao Zhengyang Wang Jian-Ping Sapatnekar Sachin S. Karpuzcu Ulya R.

There is increasing demand to bring machine learning capabilities to low power devices. By integrating the computational power of machine learning with the deployment capabilities of low power devices, a number of new applications become possible... (read more)

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Categories


  • EMERGING TECHNOLOGIES
  • HARDWARE ARCHITECTURE
  • DISTRIBUTED, PARALLEL, AND CLUSTER COMPUTING